Thermal Image Processing Save

Thermal infrared image processing scripts, e.g. for FLIR Tau 2 camera.

Project README

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Processing Scripts for Thermal Infrared Cameras

Functions and scripts for thermal images like the ones of the camera FLIR Tau 2.

:License: 3-Clause BSD license <LICENSE>_

:Author: Felix M. Riese <mailto:[email protected]>_

:Requirements: Python 3 with these packages <requirements.txt>_

:Citation: see Citation_ and in the bibtex <bibliography.bib>_ file

:Paper: Link <https://doi.org/10.5194/isprs-annals-IV-1-101-2018>_

Workflow

  1. Process frames from TMC to csv files:
  • process_ir_movie.py <thermal-image-processing/process_ir_movie.py>_
  • process_ir_timelapse.py <thermal-image-processing/process_ir_timelapse.py>_
  1. Analyze csv-files in different zones: analyze_ir_data.py <thermal-image-processing/analyze_ir_data.py>_

Citation

A bibtex file is available here <bibliography.bib>_.

Paper

S. Keller, F. M. Riese, J. Stötzer, P. M. Maier, and S. Hinz, “Developing a machine learning framework for estimating soil moisture with VNIR hyperspectral data,” ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. IV-1, pp. 101–108, 2018. Link <https://doi.org/10.5194/isprs-annals-IV-1-101-2018>_

.. code:: bibtex

@article{keller2018developing,
    author = {Keller, Sina and Riese, Felix~M. and St\"{o}tzer, Johanna
              and Maier, Philipp~M. and Hinz, Stefan},
    title = {{Developing a machine learning framework for estimating soil
              moisture with VNIR hyperspectral data}},
    year = {2018},
    address = {Karlsruhe, Germany},
    journal = {ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences},
    volume = {IV-1},
    pages = {101--108},
    url = {https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-1/101/2018/},
    doi = {10.5194/isprs-annals-IV-1-101-2018}
}

Code

F. M. Riese, “Processing Scripts for Thermal Infrared Cameras," doi.org/10.5281/zenodo.3576242, 2019.

.. code:: bibtex

@misc{riese2019processing,
    author = {Riese, Felix~M.},
    title = {{Processing Scripts for Thermal Infrared Cameras}},
    year = {2019},
    DOI = {10.5281/zenodo.3576242},
    publisher = {Zenodo},
    howpublished = {\href{https://doi.org/10.5281/zenodo.3576242}{doi.org/10.5281/zenodo.3576242}}
}

Dataset:

S. Keller, F. M. Riese, N. Allroggen, and C. Jackisch, "HydReSGeo: Field experiment dataset of surface-subsurface infiltration dynamics acquired by hydrological, remote sensing, and geophysical measurement techniques," GFZ Data Services, 2020. DOI:10.5880/fidgeo.2020.015 <https://doi.org/10.5880/fidgeo.2020.015>_

.. code:: bibtex

@misc{keller2020hydresgeo,
    author = {Keller, Sina and Riese, Felix~M. and Allroggen, Niklas and
              Jackisch, Conrad},
    title = {{HydReSGeo: Field experiment dataset of surface-subsurface
              infiltration dynamics acquired by hydrological, remote
              sensing, and geophysical measurement techniques}},
    year = {2020},
    publisher = {GFZ Data Services},
    DOI = {10.5880/fidgeo.2020.015},
}
Open Source Agenda is not affiliated with "Thermal Image Processing" Project. README Source: felixriese/thermal-image-processing

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